Text Indexing and Search

About this course

Inverted indexes, TF-IDF scoring, BM25 ranking, query processing, boolean and vector space models. Index compression, skip pointers, positional indexes.

• 20 lessons
• 2 h
• advanced

What you'll learn

• Define the information retrieval problem and its key challenges
• Identify the main components of a search system: crawler, indexer, ranker, and query engine
• Distinguish between ad-hoc retrieval, filtering, and recommendation tasks
• Explain the tokenization and normalization pipeline
• Compare stemming and lemmatization strategies
• Apply language-specific normalization techniques

Finishing the course

• 80 knowledge-check questions along the way, so you know the ideas stuck before you move on.
• Watching is free and needs no account. Sign in to save your progress. Pass each lesson's quiz (60%+) to earn the certificate. Each certificate has its own public verification link to share, marked quiz-verified.

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